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    ICDE
    2003
    IEEE
    157views Database» more  ICDE 2003»
    Profile-Driven Cache Management
    15 years 11 months ago
    Profile-Driven Cache Management
    Download  www.cs.brandeis.edu
    Modern distributed information systems cope with disconnection and limited bandwidth by using caches. In communicationconstrained situations, traditional demand-driven approaches ...
    Mitch Cherniack, Eduardo F. Galvez, Michael J. Fra...
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    GIS
    2004
    ACM
    183views Automated Reasoning» more  GIS 2004»
    A partial join approach for mining co-location patterns
    15 years 11 months ago
    A partial join approach for mining co-location patterns
    Download  www.spatial.cs.umn.edu
    Spatial co-location patterns represent the subsets of events whose instances are frequently located together in geographic space. We identified the computational bottleneck in the...
    Jin Soung Yoo, Shashi Shekhar
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    DAC
    2009
    ACM
    168views Computer Architecture» more  DAC 2009»
    Analysis and mitigation of process variation impacts on Power-Attack Tolerance
    15 years 11 months ago
    Analysis and mitigation of process variation impacts on Power-Attack Tolerance
    Download  www.rfid-cusp.org
    Embedded cryptosystems show increased vulnerabilities to implementation attacks such as power analysis. CMOS technology trends are causing increased process variations which impac...
    Lang Lin, Wayne P. Burleson
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    DAC
    2005
    ACM
    120views Computer Architecture» more  DAC 2005»
    Memory access optimization through combined code scheduling, memory allocation, and array binding in embedded system design
    15 years 11 months ago
    Memory access optimization through combined code scheduling, memory allocation, and array binding in embedded system design
    Download  www.cs.ucr.edu
    In many of embedded systems, particularly for those with high data computations, the delay of memory access is one of the major bottlenecks in the system's performance. It ha...
    Jungeun Kim, Taewhan Kim
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    ICML
    2005
    IEEE
    121views Machine Learning» more  ICML 2005»
    Combining model-based and instance-based learning for first order regression
    15 years 11 months ago
    Combining model-based and instance-based learning for first order regression
    Download  www.cs.kuleuven.ac.be
    T ORDER REGRESSION (EXTENDED ABSTRACT) Kurt Driessensa Saso Dzeroskib a Department of Computer Science, University of Waikato, Hamilton, New Zealand (kurtd@waikato.ac.nz) b Departm...
    Kurt Driessens, Saso Dzeroski
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